Radiology: Artificial Intelligence

Those of us who see the great potential of artificial intelligence in radiology are eager to assure that AI systems work to the benefit of all of our patients. To do so, we must be aware of possibilities for error. In quality management, a latent error is a failure that is "waiting to happen," often due to an oversight in design or execution. Modern AI systems are complex: they can entail hundreds of layers with thousands of connections. It's well known that deep learning systems can associate extraneous features with their intended goals.